**NIELIT-**Intel Agentic AI Skilling Programmes: From Generative AI to Systems that Plan, Reason and Execute Tasks Science & Technology, AI, Education and Employment GS Paper III / General Awareness 5 September 2026 Read highlighted facts first FAST READ - read only this box if short on time
- NIELIT and Intel India launched Agentic AI skilling programmes during a national leadership dialogue in New Delhi.
- Agentic AI refers broadly to systems designed to plan, use tools and execute multi-step tasks with a degree of autonomy.
- Two learning tracks highlighted were Agentic AI for Everyone and Engineering Agentic AI Systems.
- The initiative emphasises government-academia-industry collaboration and industry-aligned skills.
- The key policy question is not only AI adoption but human oversight, reliability, cyber security, jobs and accountability.
WHY IN NEWS
- NIELIT and Intel India launched the programmes as employers and educational institutions respond to rapid changes in AI capability.
- The shift from chat-style generative systems to tool-using agents changes the skills needed for workflow design, verification and governance.
TOP DATA & FACTS
- NIELIT is an autonomous scientific society under the Ministry of Electronics and Information Technology.
- It was formerly known as the DOEACC Society.
- Agentic systems can decompose goals into tasks, call software tools, retrieve information and act on results.
- No-code and low-code platforms can widen access to basic automation.
- Engineering reliable agents requires programming, model evaluation, security, data engineering and observability.
- An AI agent is not inherently accurate merely because it can act autonomously.
- Tool permissions can turn a model error into a real-world action, increasing the need for access control.
- Human-in-the-loop checkpoints are important for high-impact decisions.